System and method for creating customized on-demand video reports in a network environment

ABSTRACT

An example method includes receiving a search query that includes one or more attributes; evaluating a plurality of video files; identifying video clips within the video files that have one or more of the search attributes; and creating a video report comprising a contiguous sequence of the video clips, where the video clips are stitched together according to a stitch criterion. In more particular embodiments, the method can include providing a user interface configured for receiving feedback associated with the plurality of video files. Additionally, the method may include tagging the video files with tags corresponding to predefined attributes; and identifying the predefined attributes in response to the search query. Furthermore, method can include matching the tags with the one or more search attributes, where at least one video clip in a particular one of the video files has at least some of the one or more search attributes.

TECHNICAL FIELD

This disclosure relates in general to the field of communications and,more particularly, to a system and a method for creating customizedon-demand video reports in a network environment.

BACKGROUND

The field of communications has become increasingly important in today'ssociety. In particular, the ability to effectively gather, associate,and organize information presents a significant obstacle for componentmanufacturers, system designers, and network operators. As newcommunication platforms and technologies become available, new protocolsshould be developed in order to optimize the use of these emergingprotocols. With the emergence of high bandwidth networks and devices,enterprises can optimize global collaboration through creation ofvideos, and personalize connections between customers, partners,employees, and students through user-generated video content. Widespreaduse of video in turn drives advances in technology for video creation,uploading, searching, and viewing.

BRIEF DESCRIPTION OF THE DRAWINGS

To provide a more complete understanding of the present disclosure andfeatures and advantages thereof, reference is made to the followingdescription, taken in conjunction with the accompanying figures, whereinlike reference numerals represent like parts, in which:

FIG. 1 is a simplified diagram of one embodiment of a communicationsystem in accordance with the present disclosure;

FIG. 2 is a simplified block diagram illustrating additional details ofthe communication system;

FIG. 3 is a simplified diagram illustrating example operationalactivities that may be associated with embodiments of the communicationsystem;

FIG. 4 is a simplified diagram illustrating example operationalactivities that may be associated with embodiments of the communicationsystem; and

FIG. 5 is a simplified flow diagram illustrating example operationalactivities that may be associated with embodiments of the communicationsystem in accordance with the present disclosure.

DETAILED DESCRIPTION OF EXAMPLE EMBODIMENTS

Overview

An example method includes receiving a search query that includes one ormore attributes; evaluating a plurality of video files; identifyingvideo clips within the video files that have one or more of the searchattributes; and creating a video report comprising a contiguous sequenceof the video clips, where the video clips are stitched togetheraccording to a stitch criterion.

In more particular embodiments, the method can include providing a userinterface configured for receiving feedback associated with theplurality of video files. Additionally, the method may include taggingthe video files with tags corresponding to predefined attributes; andidentifying the predefined attributes in response to the search query.Furthermore, method can include matching the tags with the one or moresearch attributes, where at least one video clip in a particular one ofthe video files has at least some of the one or more search attributes.

The factual search query can be a natural language query, acustomization form that includes predefined attributes, etc. Thepredefined attributes can include virtually any characteristic orparameter, such as an author attribute reflective of authorship of aparticular video file; an identity attribute reflective of an identityof a speaker in a video content of the particular video file; a videoplaying source attribute; a number of views attribute associated with anumber of times the particular video file has been viewed; a textattribute associated with spoken words recorded in the particular videofile; a rating attribute associated with user ratings of the particularvideo file; an upload time attribute associated with when the particularvideo file was uploaded; a commentary attribute associated with commentsin the particular video file; a location attribute associated with alocation for the particular video file; an event attribute associatedwith an event recorded in the particular video file; and a scene changeattribute associated with differences between video frames.

The stitch criterion can include any number of characteristics, such asan upload time attribute associated with when a particular video filewas uploaded; a video creation time attribute associated with when theparticular video file was created; an event time attribute associatedwith a time of an event recorded in the particular video file; a ratingattribute associated with user ratings of the particular video file; anda number of views attribute associated with a number of times theparticular video file has been viewed.

In certain implementations, the video report comprises embedded linkscorresponding to particular video clips, and where each of the embeddedlinks can be selected to access a corresponding video file that includesthe particular video clips. In addition, the method may includeproviding the video report to a next destination. The providing caninclude sending the video report via electronic mail; publishing thevideo report; and uploading the video report to a video sharing website.In addition, the method may include providing a user interfaceconfigured for editing the video report.

EXAMPLE EMBODIMENTS

Turning to FIG. 1, FIG. 1 is a simplified block diagram of communicationsystem 10 for creating customized on-demand video reports in a networkenvironment in accordance with one embodiment of the present disclosure.FIG. 1 illustrates a video source 12, which may include multiple videofiles. Video source 12 may interface with a collector 14, which includesa speaker recognition module 16, a speech-to-text operations module 18,a user rating mechanism module 20, an attribute module 22, and a taggingmodule 24. Collector 14 may interface with a connector 28, whichincludes a search engine 30, an analysis engine 32, and a video report34. The architecture of FIG. 1 may include a frontend 36 provisionedwith a user interface 38, a customization module 40, an embedded linkmodule 42, a feedback module 44, and a share module 45. A user 46 canaccess frontend 36 to find video clips (e.g., sections within the videofile) having one or more attributes, as discussed herein.

As used herein, the term “attribute” refers to any property of a videofile, or an object or element (e.g., a signature) in the video file; aspecific value for a given instance of such property; or metadata (orvalue thereof) associated with the video file. Examples of attributesinclude: an author attribute reflective of authorship of the video file;an identity attribute reflective of an identity of a speaker in a videocontent of the video file; a video playing source attribute; a number ofviews attribute associated with a number of times the video has beenviewed; a text attribute associated with spoken words recorded in thevideo file; a rating attribute associated with user ratings of thevideo; an upload time attribute associated with when the video file wasuploaded; a commentary attribute associated with comments in the video;a location attribute associated with a location for the video file; anevent attribute associated with an event recorded in the video file; ascene change attribute associated with differences between video frames;a video creation time attribute associated with when the video file wascreated; etc.

Various attributes are possible for any video file propagating withincommunication system 10. Each attribute may be associated with acorresponding video clip in the video file; conversely, each video clipin the video file may be associated with one or more attributes. A videofile can be logically divided into a plurality of video clips. Thelogical divisions may overlap, or be mutually exclusive. Moreover, thelogical divisions may not be fixed, but rather can be dynamicallychanged based on various factors, including search queries for the videoclips. In some embodiments, the length of the video clips may becustomized (e.g., user 46 can select the length of each video clip); inother embodiments, the length of the video clip may be predetermined(e.g., administrator may set a pre-determined length of 8 seconds foreach video clip; or a size limit, such as 2 MB, for the video clip maybe set; etc.). In yet other embodiments, the length of the video clipmay be any value, assigned suitably (and in some scenarios, dynamically)based on particular needs. To associate an attribute with a video clip,the video file may be divided into the plurality of video clips suchthat one of the video clips has the attribute.

For example, a video file that has a length of 1 minute 30 seconds mayinclude video content that shows: (i) speaker John speaking about WidgetBusiness Unit in the first 30 seconds of the video file, and (ii)audience laughing in the last 30 seconds of the video file. User 46 mayset a customized length of 30 seconds for each video clip. Collector 14may analyze the video file and determine that the following attributesmay be associated with the video file: <identity>: John; <text> WidgetBusiness Unit; and <event> laughter. The video file may be divided intoa plurality of video clips such that a first video clip includes thefirst 30 seconds of the video file, and has the following attributes:<identity>: John; and <text> Widget Business Unit; and a second videoclip includes the last 30 seconds of the video file, and has thefollowing attributes: <event> laughter. If another user sets a videoclip length of 2 minutes, the video file of the previous example mayinclude a single video clip with all three attributes.

In some scenarios, the entire video file may have a common attribute.For example, the upload time of the video file may be common to anyvideo clip into which the video file may be divided. In other scenarios,one video file can have multiple instances of the same attribute. Forexample, John may speak multiple times at various times in the videofile. Depending on the length of the video clips into which the videofile may be divided, each video clip may have none, one, or multipleinstances of the same attribute. Various possibilities of dividing thevideo file into video clips are possible within the broad scope of thepresent disclosure.

Embodiments of communication system 10 may provide a user (e.g., user46) with features that support on-demand video report generation basedon multiple videos within a video repository (e.g., video source 12),using not only spoken words within the video content, but also who spokethose words (speaker identification), how popular a certain section was(per segment rating incorporation) and scenario detection (everyonelaughing, music being played in the background, shot outdoors etc.)Features of communication system 10 may: allow for automatic multiplevideo editing using various attributes like spoken and tagged keywords,speakers, upload date, action detection, segment based ratings etc.;make video consumption easy, quick, relevant and personalized to eachuser's defined preferences; and allow users to easily share theirfinds/video research with others by sending a consolidated video reportthat takes into account the user's customizations and preferences.

Note that for purposes of illustrating certain example techniques ofcommunication system 10, it is important to understand thecommunications that may be traversing the network. The followingfoundational information may be viewed as a basis from which the presentdisclosure may be properly explained. Such information is offeredearnestly for purposes of explanation only and, accordingly, should notbe construed in any way to limit the broad scope of the presentdisclosure and its potential applications.

In document database searching, users seeking to research a particulartopic may search for various documents on the topic, bookmark orhighlight snippets (e.g., relevant portions of the document), copy andpaste the lines/paragraphs into a new document, and compile all of itinto a single document for future reference or public sharing. Incontrast, although various solutions for capturing various aspects ofgenerating, consuming, and sharing video files exist in the marketplace,existing search and share technologies for videos cannot be compared todocument database searching. For example, trying to scan in numerousvideo files in a system, search for short snippets, or a particularword/speaker/author etc., and subsequently share the consolidatedresults across an enterprise may be quite difficult, if not impossible.

In one example of existing technology, Optimized Balanced Audio VideoMaximal marginal Relevance (OB-MMR) is utilized to analyze video contentand to condense the content into an abbreviated descriptive videosummary. Video summaries exploit audiovisual information to obtain anunderlying relation among video frames and create a condensed versionfrom the original video. Video summaries are generally useful for a longvideo, and the user can watch the video summary without having to viewthe details. In creating video summaries, selected frames are typicallyinserted into an index based on key-frames, text, video segments, andgraphic cues. However, such technologies do not allow users to demand avideo report to be automatically generated (e.g., using a plurality ofvideos in a video repository) based on attributes (e.g., speakers withina video; topics spoken; date uploaded; actions occurred (laughing,music, etc.)).

In another example of existing technology, multi-video summarization maybe implemented based on textual and visual components. Multi-videosummarization can be used to create a video summary for a set oftopic-related videos having several sub-themes or sub-events around amain topic. For example, a news aggregator may gather various sets oftopic related news videos (e.g., sports news, political news, weathernews, etc.) and provide respective summaries to represent each set suchthat the user can easily understand the topics after viewing thesummaries and then decide whether to watch a particular set (e.g.,sports news). However, such technologies do not have user customization,and on-demand video report generation, speaker recognition and tagging,per-segment based user ratings, speaker identification, scenariodetection, etc.

A system for creating customized on-demand video reports in a networkenvironment, illustrated in FIG. 1, can resolve many of theaforementioned issues. Embodiments of communication system 10 can searcha plurality of video files in a network environment, identify videoclips having one or more “search attributes” (e.g., attributes containedin a search query, for example, populated by user 46), and generatevideo report 34 comprising a contiguous sequence of the identified videoclips, with the video clips being stitched together according to astitch criterion. As used herein the term “stitch criterion” refers toany attribute or other parameter that may be used to arrange the videoclips in video report 34. Stitch criteria may include, as examples, anupload time attribute associated with when the video file was uploaded;a video creation time attribute associated with when the video file wascreated; a rating attribute associated with user ratings of the videofile; a number of views attribute associated with a number of times thevideo file has been viewed; etc. If the upload time attribute isselected as the stitch criterion, the video clips may be arranged invideo report 34 according to the upload time of the respective videofiles, for example, with a video clip from the earliest uploaded videofile placed first, followed by video clips from subsequently uploadedvideo files.

The architecture of communication system 10 can (automatically) generatea customized on-demand video report 34 using video source 12, such thatvideo report 34 includes video clips selected by user 46 (e.g., based ontopics of interest to user 46; involving feedback from various otherusers; etc.), gathered and stitched (e.g., joined) together as acontiguous sequence of the video clips without any manual intervention.Communication system 10 can build a new, or augment an existing, videotagging and search system that can allow user 46 to commandcommunication system 10 to search, copy, paste, edit, etc. video clipsfrom one or more video files in video source 12 and stitch them togetherto create, automatically (and on-demand), video report 34 in a form of acontiguous sequence of the video clips, which may be easier to consumeand share (than, for example, multiple individual video clips or filesthat have to be separately selected and viewed).

In accordance with certain embodiments, communication system 10 can beconfigured to recognize video clips based on various attributes (e.g.,speaker identification, content-type attributes, etc.) For example, user46 can search for video clips using a natural language query on userinterface 38, such as: “Search and prepare a video report consisting ofsnippets from videos dated January 2011 to July 2011 that have Johnspeak about Widget Business Unit;” or “Prepare a video report from TheCompany events in the system database that showcase or speak aboutproduct ABC capabilities;” or “Prepare a composite video of allinstances of an audience laughing with Jane as a speaker in it;” etc. Inyet other embodiments, video report 34 may be automatically generatedbased on user's 46 choice (e.g., using customization module 40) ofvarious attributes, such as topics, speakers, actions (e.g., laughing,yawning, etc.), keywords, events, dates, location, upload time, etc.,for ease of consumption and sharing.

In addition, embodiments of communication system 10 can provide forsearching video source 12 and then evaluating each video file in videosource 12 for the search attributes selected by user 46. If the searchattribute is recognized in the video file, the video file may be dividedinto a plurality of video clips such that at least one video clip hasthe search attributes. The video clips having the search attributes maybe collected and arranged into a contiguous sequence to create videoreport 34. In various embodiments, enhancements such as adding textstrings to each video clip, for example as a text summary; highlightingwords in video clip; etc. may also be implemented. In some embodiments,user 46 may be able to move the video clips around in video report 34,for example, to improve the summary before publishing video report 34.

Communication system 10 is configured to allow user 46 to provide persnippet feedback using feedback module 44, for example, by selecting(e.g., clicking) a suitable item (e.g., “Like” button icon, or“Thumbs-up” button icon, etc.) for sections within video report 34. Invarious embodiments, embedded link module 42 can insert embedded linksin video report 34 to link to the original video files in which thedesired video clips were identified. For example, when user 46 clicks ona video clip of video report 34, user 46 may be able to access and viewthe corresponding original video file from which the video clip waspulled.

In operation, the architecture of communication system 10 may also beconfigured to identify various attributes of the video file, such asidentity of the speakers in a video content of each video file;identification of the accompanying speech; text identification; videolocation; authorship; mechanism for users to rate; etc. The architecturemay readily identify timestamps associated with when the speakers startand stop speaking. Speaker recognition module 16 may allow speakeridentification using various methods, including speaker recognition,face recognition, speech identification, text identification, and/or acombination thereof. In the case of speech recognition, phrases such as“Let me introduce Ms. XYZ,” “Let's welcome ABC,” “We have among us DEF”,etc. can be extracted to match these names to the identity of thespeaker, or persons appearing in the video. Additionally, textidentification can extract names from banners welcoming celebrities, orinformation can be gleaned from placards that identify panelists, fromvideo credits, from sub-titles within a video, from closed-captionstreams, etc.

Speech to text operations module 18 may convert speech to text using anysuitable speech to text translation method. The text may be stored andassociated with the corresponding video file, for example, to enablefaster searching for keywords. In certain aspects of the presentdisclosure, user rating mechanism module 20 may permit users (e.g., user46) to rate one or more video clips (e.g., as “must watch,” “not worthwatching”, “like,” or any other labeling that would be indicative of thevalue of watching a particular video clip). In other implementations,such indicators could be as simple as a “thumbs up/thumbs down” softbutton (or a slider, or other interactive control), where the user isinvited to make a selection depending on their level of engagement.Moreover, a collection of these ratings across various users (e.g., overa period of time) can be used by analysis engine 32 to compile videoclips suitably for video report 34.

In particular embodiments, attribute module 22 may identify a video type(e.g., demonstration video, advertisement, etc.) by extracting keywords(e.g., “demonstration”, “demo”, “trial”, “show you how”, “let's see howthis is done”, “as you can see”, “to/on my right/left”, “above/belowme”, “at the bottom/top/bottom left/bottom right/top left/top right”,“the following slides”, etc.) and other indicators such as detectinggestures, the use of props, and movements of people (that are notusually associated with being a talking head type content) may also berelevant indicators. Attribute module 24 can also intelligently identifyobjects, backgrounds, and/or background noise. Attribute module 24 canidentify scene changes; events recorded in the video file (e.g., personfalling; audience laughing; plane landing, etc.); audio changes (e.g.,music starting; music changing; jingle; etc.) and other elements in thevideo content of each video file. For example, for scene detectionactivities, if there is a significant change between two video framesand, further, if this delta is consistent for multiple frames, suchinformation can point toward a change in background or a visual changethat signifies a video file needing visual attention.

In various embodiments, information from speaker recognition module 16,speech to text operations module 18, user rating mechanism module 20,and attribute module 22 may be used by tagging module 24 to tag videofiles with corresponding tags. For example, a video file with Johnspeaking about a Widget Business Unit may include a section in whichcertain participants in the video are laughing, and the video may have a“must watch” rating from several users. Tagging module 24 may tag thevideo file with tags such as: <speaker> “John,” <keyword> “WidgetBusiness Unit,” <attribute> “laugh,” and <rating> “Must Watch.” Notethat these examples being provided herein are merely for illustrativepurposes. Myriad other attributes and tags can be included incommunication system 10 within the broad scope of the presentdisclosure. Each tag may be associated with the corresponding videoclip; conversely, each video clip may include one or more tags.

Turning to frontend 36 (through which user 46 interacts with elements ofcommunication system 10), user interface 38 may be implemented using anysuitable means for interaction, such as a graphical user interface(GUI), a command line interface (CLI), web-based user interfaces (WUI),touch-screens, keystrokes, touch pads, gesture interfaces, displaymonitors, etc. User interface 38 may include hardware (e.g., monitor,display screen, keyboard, etc.) and software components (e.g., GUI, CLI,etc.). User interface 38 may provide a means for input (e.g., allowinguser 46 to manipulate communication system 10) and output (e.g.,allowing user 46 to view video report 34, among other uses).

According to embodiments of communication system 10, customizationmodule 40 may allow users to input customization choices for creatingvideo report 34. For example, customization module 40 may presentcertain predefined attributes to the user for selection (e.g., keywords,speaker, author, etc.) in a customization form to generate a searchquery. Customization module 40 may also include features allowing user46 to enter a natural language query. Search engine 30 may searchsuitable video repositories for video clips matching the user's searchquery. Search results may be fed into analysis engine 32, which mayaggregate the search results into video report 34 for consumption byuser 46.

In various embodiments, user 46 may select embedded links provided byembedded link module 42 to view original video files and provide ratingsfor the video clip through feedback module 44 as desired. The userrating may be fed into user rating mechanism module 20 of collector 14,and aggregated with ratings for the video clip from other users. Sharemodule 45 may allow user 46 to share video report 34 with others usingvarious methods, for example, via email or a publish button that cansend out video report 34 to various user groups.

In one embodiment, communication system 10 can generate a set ofreferences to relevant video clips for constructing on-demand videoreport 34. In another embodiment, crowd-sourcing feedback mechanism maybe implemented in user rating mechanism module 20 to allow users toadd/modify/rank content, for example as a “video wiki” where each pageis an amalgamation of multiple videos. In various embodiments, multipleusers can specify different criteria (e.g., search attributes) for theexact same videos and the video reports produced from these differentcriteria may be different from each other although the video sources(e.g., video files) are identical.

Turning to the infrastructure of FIG. 1, elements of communicationsystem 10 may represent a series of points or nodes of interconnectedcommunication paths for receiving and transmitting packets ofinformation, which propagate through communication system 10. Elementsof communication system 10 may include network elements (not shown) thatoffer a communicative interface between servers (and/or users) and maybe any local area network (LAN), a wireless LAN (WLAN), a metropolitanarea network (MAN), a virtual LAN (VLAN), a virtual private network(VPN), a wide area network (WAN), or any other appropriate architectureor system that facilitates communications in a network environment.

As used herein in this Specification, the term “network element” ismeant to encompass network appliances, servers, routers, switches,gateways, bridges, loadbalancers, firewalls, processors, modules, or anyother suitable device, proprietary component, element, or objectoperable to exchange information in a network environment. Moreover, thenetwork elements may include any suitable hardware, software,components, modules, interfaces, or objects that facilitate theoperations thereof. This may be inclusive of appropriate algorithms andcommunication protocols that allow for the effective exchange of data orinformation.

Elements of FIG. 1 may be coupled to one another through one or moreinterfaces employing any suitable connection (wired or wireless), whichprovides a viable pathway for electronic communications. Additionally,any one or more of these elements of FIG. 1 may be combined or removedfrom the architecture based on particular configuration needs.Communication system 10 may include a configuration capable oftransmission control protocol/Internet protocol (TCP/IP) communicationsfor the electronic transmission or reception of packets in a network.Communication system 10 may also operate in conjunction with a userdatagram protocol/IP (UDP/IP) or any other suitable protocol, whereappropriate and based on particular needs.

In various embodiments, video source 12 may include any suitablerepository for storing video files (e.g., web server, enterprise server,hard disk drives, camcorder storage devices, video cards, etc.). Videofiles may be stored in any file format (e.g., including Moving PicturesExperts Group (MPEG), Apple Quick Time Movie (MOV), Windows Media Video(WMV), Real Media (RM), etc.). Suitable file format conversionmechanisms, analog-to-digital conversions, etc. and other elements tofacilitate accessing video files may also be implemented in video source12 within the broad scope of the present disclosure.

In various embodiments, elements of communication system 10 may beimplemented as a stand-alone solution with associated databases forvideo sources 12; processors and memory for executing instructionsassociated with the various elements (e.g., collector 14, connector 28,etc.), etc. User 46 may access the stand-alone solution to initiateactivities associated therewith. In other embodiments, elements ofcommunication system 10 may be dispersed across various networks. Forexample, video source 12 may be a web server located in an Internetcloud; collector 14 and connector 28 may be implemented on an enterpriseserver; and frontend 36 may be implemented on a user device (e.g.,mobile devices, personal computers, electronic devices, and any otherdevice, component, element, or object operable by a user and capable ofinitiating voice, audio, or video, exchanges within communication system10). User 46 may run an application on the user device, which may bringup user interface 38, through which user 46 may initiate the activitiesassociated with communication system 10. Myriad such implementationscenarios are possible within the broad scope of the present disclosure.

Embodiments of communication system 10 may leverage existing videorepository systems (e.g., Cisco® Show and Share, YouTube, etc.),incorporate existing media/video tagging and speaker identificationcapability of existing devices (e.g., as provided in Cisco MXE3500 MediaExperience Engine) and add features to allow users (e.g., user 46) toprovide feedback for video clips by selecting (e.g., clicking) asuitable item (e.g., “Like” button), for example, while viewing thevideo file, or video report 34. The user feedback may be aggregated oversubstantially all users and across substantially all videos incommunication system 10. Using backend capabilities provided incollector 14 (e.g., tagging videos for keywords, speakers andmiscellaneous attributes like gestures, background, scenes, faces, etc.)communication system 10 may be opened up to users, who may benefit fromthe various attributes the system collects about the videos in turn toprovide a broad choice of searching through the videos in video source12.

Turning to FIG. 2, FIG. 2 is a simplified block diagram of an exampleembodiment of communication system 10. A customization form 50 mayinclude various attributes, such as keywords 52, user ratings 54,speaker 56, upload time 58, etc. Customization form 50 may allow user 46to enter various attributes for populating a search query. For example,user 46 may enter the following search attributes into customizationform 50: <Keywords> Flip Camera <User ratings> Yes <Speaker> John<Upload Time> From: January 2008 To: current; etc. for a search queryfor video clips tagged with keyword “Flip Camera” having “John”identified as a speaker, with user ratings, and uploaded from January2008 to present. A natural language query 60 may be alternatively, oradditionally, presented to user 46. For example, a natural languagequery such as “Search videos with user ratings for John speaking aboutFlip Camera and uploaded after December 2007” may lead to the samesearch results as in the previous example with customization form 50. Inone embodiment, customization form 50, and natural language query 60 maybe presented to user 46 via user interface 38.

Search engine 30 may include a search attribute identifier module 62, aprocessor 64, a memory element 66, and a search module 68. Searchattribute identifier module 62 may parse the search query populated bycustomization form 50 and/or natural language query 60 to identifysearch attributes. For example, the search attributes identified fromthe previous example may include <Keywords> Flip Camera; <User ratings>Yes; <Speaker> John; <Upload Time> After December 2007; etc. Searchmodule 68 may access video repository 70 to search for video clipshaving the search attributes. In various embodiments, video repository70 may encompass a collection of video files. Video repository 70 may beimplemented in a database, on a server, network device, hard disk, orany other storage medium that may be accessed by elements ofcommunication system 10.

Search results may be provided to analysis engine 32, which may includea memory element 74, processor 72, stitch module 76, and editing module78. The search results may include video clips from video files in videorepository 70. In some embodiments, search engine 30 and analysis engine32 may share processors (e.g., processor 64 and 72) and/or memoryelements (e.g., memory element 66 and 74). Stitch criteria 80 may beprovided for collating video clips. According to embodiments ofcommunication system 10, stitch module 76 may arrange the video clipsfrom the search results and stitch them together to generate videoreport 34. Editing module 78 may allow user 46 to further customizevideo report 34, for example, by re-arranging the video clips withinvideo report 34, deleting one or more video clips from video report 34,adding text strings to video clips, etc.

In some embodiments, stitch module 76 may arrange the video clips fromthe search results according to stitch criteria 80. For example, stitchmodule 76 may arrange the search results in an order of highest ratedfirst followed by the rest and present to user 46 as a single videoreport 34. In another example, stitch module 76 may arrange the searchresults in an order of time of events recorded in the respective videofiles. In one embodiment, stitch criteria 80 may be presented forselection by user 46 through customization form 50 (e.g., <Collate>“user rating”). In another embodiment, stitch criteria 80 may bepresented to user 46 through natural language query 60 (e.g., “collatebased on user rating”). In yet another embodiment, stitch criteria 80may be set by an administrator. In yet another embodiment, user 46 mayselect stitch criteria 80 from a selection of attributes (e.g., anupload time attribute associated with when the video file was uploaded;a video creation time attribute associated with when the video file wascreated; a rating attribute associated with user ratings of the videofile; a number of views attribute associated with a number of times thevideo file has been viewed; etc.) Video report 34 may be presented touser 46 via user interface 38.

Turning to FIG. 3, FIG. 3 is a simplified diagram of activities that maybe associated with an embodiment of communication system 10. Variousactivities performed by elements of communication system 10 may becategorized into different phases: accessing phase 100, evaluation phase150, storing phase 200, searching phase 250, editing phase 300, andsharing phase 350. At accessing phase 100, a video file may be suitablyaccessed. For example, in one embodiment, the video file may be accessedfrom a database at 102. In another embodiment, the video file may beaccessed from a server (e.g., web server) at 104. In yet anotherembodiment, the video file may be accessed from a local storage device(e.g., video camera tape connected to user's computer).

At evaluation phase 150, the video file may be evaluated for predefinedattributes. For example, identity attributes (e.g., speaker identity) inthe video file may be determined at 152 (e.g., by speaker recognitionmodule 16); text attributes (e.g., keywords) in the video file may bedetermined at 154 (e.g., by speech to text operations module 18); ratingattribute (e.g., user rating) of the vide file may be determined at 156(e.g., using user rating mechanism module 20). Other predefinedattributes (e.g., scene changes, events, timestamps, etc.) may berecognized at 158 (e.g., by attribute module 22). At 160, the video filemay be tagged according to the predefined attributes (e.g., by taggingmodule 24). At storing phase 200, the tagged video file may be stored ina video repository (e.g., video repository 70) with other similarlytagged video files.

At searching phase 250, the tagged video files in video repository 70may be searched according to search queries generated by user 46. Searchattributes may be identified from the user's search query at 252. In oneembodiment, the search attributes may correspond to one or more existingtags of the video files. For example, the search attributes may matchwith some or all of the predefined attributes. In another embodiment,search attributes that do not match existing tags may be ignored duringthe search. In yet another embodiment, search attributes that do notmatch existing tags may be used to generate new tags (and/or predefinedattributes), and the video files in video repository 70 may bere-evaluated for such attributes presented by the new tags. In suchembodiments, as users use new attributes to search for video files, thenumber of predefined attributes (and tags) increases over time, and maylead to a richer storehouse of information and/or more completesearches.

At 254, the video files in video repository 70 may be searched for thesearch attributes. At 256, video clips having the search attributes maybe identified. In one embodiment, if the search attributes are identicalto some of the predefined attributes, the tags for each video file maybe matched with the search attributes and if the tags match the searchattributes, the video file may be divided into a plurality of videoclips having the search attributes. In one example, if the tags matchthe corresponding search attributes, the video clip may be pulled intothe search results. In some embodiments, less than all tags may bematched to the corresponding search attributes; in other embodiments,substantially all tags may be matched to the corresponding searchattributes. Various methods of searching may be performed based onparticular needs. For example, the searches may be optimized for fastsearching. In another example, the searches may be optimized foraccurate searching.

At editing phase 300, the search results (comprising the video clipshaving the search attributes) may be stitched into video report 34 andedited as desired. At 302, the identified video clips may be stitchedtogether to create video report 34. In various embodiments, the videoclips may be arranged according to stitch criteria 80 and stitchedtogether by known methods. At 304, user 46 may move the video clips invideo report 34 as desired. In some embodiments, user 46 may delete thevideo clip from video report 34. In some embodiments, user 46 mayadvance and/or move back one or more video clips relative to other videoclips. At 306, user 46 may select embedded links in video report 34 toaccess the original video file associated with the corresponding videoclip. At 308, user 46 may provide feedback on video clips in videoreport 34. For example, user 46 may select a “like” icon to indicateapproval. At 310, user may input text strings into video report 34.Various other editing options may also be included to allow user 46 tomanipulate and edit video report 34 as desired.

At sharing phase 350, user 46 may view or share video report 34. Forexample, at 352, user 46 may view video report 34 on user interface 38.At 354, user 46 may upload video report 34 to a video sharing site(e.g., You Tube). At 356, video report 34 may be automatically uploadedto the video sharing site upon user approval. At 358, user 46 may sendvideo report 34 to others via e-mail. At 360, user 46 may publish videoreport 34, for example, on a public enterprise server accessible toothers within the enterprise network.

In some embodiments, the phases may follow a chronological order. Forexample, accessing phase 100 may be followed in time by evaluation phase150, then by storing phase 200, then by searching phase 250, then byediting phase 300, and finally by sharing phase 350. In otherembodiments, the phases may not follow a chronological order. Forexample, evaluation phase 150 may be performed multiple times—first,before searching phase 250, and second, during searching phase 250; inembodiments where the search attributes generate new tags (for instance,stored video files may be evaluated further, during searching phase 250,for the new tags). In another example, editing phase 300 may beperformed multiple times, including after sharing phase 350. Forinstance, user 46 may edit video report 34 a first time, and e-mail itto others for review; user 46 may then edit video report 34 furtherafter receiving reviews from other users, and share it on a videosharing site. The order of the phases as presented in FIG. 3 is notintended to be a limitation; myriad variations in the order of thephases are possible within the broad scope of the present disclosure.

Turning to FIG. 4, FIG. 4 is a simplified diagram of activities that maybe associated with another embodiment of communication system 10.Various activities performed by elements of communication system 10 canbe categorized into different phases. At storing phase 200, multiplevideo files may be stored in video repository 70. The video files may ormay not be tagged for various attributes. At searching phase 250,searching and evaluation may be combined. For example, search attributesmay be identified from the user's search query at 252. At 253, thestored video files may be evaluated for the search attributes. At 255,search attributes in the video files may be recognized. At 256, thevideo clips having the search attributes may be identified. In oneembodiment, if a search attribute is recognized in a video file, thevideo file may be divided into a plurality of video clips such that atleast one video clip has search attribute. In another embodiment, ifsubstantially all search attributes are recognized in each video file,the video file may be divided into a plurality of video clips such thatat least one video clip has substantially all search attributes.

Editing phase 300 and sharing phase 350 may be similar to the embodimentdescribed in connection with FIG. 3. For example, at editing phase 300,the search results may be stitched into video report 34 and edited asdesired. At 302, the identified video clips may be stitched together tocreate video report 34. At 304, user 46 may move the video clips invideo report 34 as desired. At 306, user 46 may select embedded links invideo report 34 to access the original video file associated with thecorresponding video clip. At 308, user 46 may provide feedback on videoclips in video report 34. At 310, user may input text strings into videoreport 34. Various other editing options may also be included to allowuser 46 to manipulate and edit video report 34 as desired.

At sharing phase 350, user 46 may view or share video report 34. Forexample, at 352, user 46 may view video report 34 on user interface 38.At 354, user 46 may upload video report 34 to a video sharing site. At356, video report 34 may be automatically uploaded to the video sharingsite upon user approval. At 358, user 46 may send video report 34 toothers via e-mail. At 360, user 46 may publish video report 34.

In some embodiments, the phases may follow a chronological order. Forexample, storing phase 200 may be followed by searching phase 250, thenby editing phase 300, and finally by sharing phase 350. In otherembodiments, the phases may not follow a chronological order. Forexample, editing phase 300 may be performed multiple times, includingafter sharing phase 350. For instance, user 46 may edit video report 34a first time, and publish it on an internal enterprise server for reviewby others; user 46 may then edit video report 34 further after receivingreviews from others, and share it on a video sharing site as a finalversion. The order of the phases as presented in FIG. 4 is not intendedto be a limitation; myriad variations in the order of the phases arepossible within the broad scope of the present disclosure.

Turning to FIG. 5, FIG. 5 is a simplified flow diagram 500 illustratingoperational steps that may be associated with embodiments ofcommunication system 10. The operations may begin at 502 whencommunication system 10 is activated. For example, user 46 may open upuser interface 38 for initiating activities associated withcommunication system 10. At 504, user 46 may input a suitable searchquery into user interface 38 to search for videos with certain searchattributes. In one embodiment, the search query may be populated fromcustomization form 50. In another embodiment, the search query may benatural language search query 60.

At 506, search engine 30 may search the video files in video repository70 for the search attributes identified in the search query. At 508,analysis engine 32 may analyze the search results and stitch video clipsfrom the search results into video report 34. At 510, video report 34may be edited on user demand. For example, user 46 may delete some videoclips, move video clips around, add text, etc. At 512, user 46 mayoptionally provide feedback on the video clips. At 514, user 46 mayshare or view video report 34. The operations end (or recycle) at 516.

In example embodiments, at least some portions of the activitiesoutlined herein may be implemented in non-transitory logic (i.e.,software) provisioned in, for example, nodes embodying various elementsof communication system 10. This can include one or more instances ofcollector 14, connector 28, and/or frontend 36 being provisioned invarious locations of the network. In some embodiments, one or more ofthese features may be implemented in hardware, provided external tothese elements, or consolidated in any appropriate manner to achieve theintended functionality. Collector 14, connector 28, and/or frontend 36may include software (or reciprocating software) that can coordinate inorder to achieve the operations as outlined herein. In still otherembodiments, these elements may include any suitable algorithms,hardware, software, components, modules, interfaces, or objects thatfacilitate the operations thereof.

Furthermore, components of communication system 10 described and shownherein may also include suitable interfaces for receiving, transmitting,and/or otherwise communicating data or information in a networkenvironment. Additionally, some of the processors and memory associatedwith the various nodes may be removed, or otherwise consolidated suchthat a single processor and a single memory location are responsible forcertain activities. In a general sense, the arrangements depicted in theFIGURES may be more logical in their representations, whereas a physicalarchitecture may include various permutations, combinations, and/orhybrids of these elements. It is imperative to note that countlesspossible design configurations can be used to achieve the operationalobjectives outlined here. Accordingly, the associated infrastructure hasa myriad of substitute arrangements, design choices, devicepossibilities, hardware configurations, software implementations,equipment options, etc.

In some of example embodiments, one or more memory elements (e.g.,memory elements 66, 74) can store data used for the operations describedherein. This includes the memory element being able to storeinstructions (e.g., software, logic, code, etc.) that are executed tocarry out the activities described in this Specification. A processorcan execute any type of instructions associated with the data to achievethe operations detailed herein in this Specification. In one example,one or more processors (e.g., processors 64 and 72) could transform anelement or an article (e.g., data) from one state or thing to anotherstate or thing. In another example, the activities outlined herein maybe implemented with fixed logic or programmable logic (e.g.,software/computer instructions executed by a processor) and the elementsidentified herein could be some type of a programmable processor,programmable digital logic (e.g., a field programmable gate array(FPGA), an erasable programmable read only memory (EPROM), anelectrically erasable programmable read only memory (EEPROM)), an ASICthat includes digital logic, software, code, electronic instructions,flash memory, optical disks, CD-ROMs, DVD ROMs, magnetic or opticalcards, other types of machine-readable mediums suitable for storingelectronic instructions, or any suitable combination thereof.

Components in communication system 10 can include one or more memoryelements (e.g., memory elements 66, 74, video repository 70) for storinginformation to be used in achieving operations as outlined herein. Thesedevices may further keep information in any suitable type of memoryelement (e.g., random access memory (RAM), read only memory (ROM), fieldprogrammable gate array (FPGA), erasable programmable read only memory(EPROM), electrically erasable programmable ROM (EEPROM), etc.),software, hardware, or in any other suitable component, device, element,or object where appropriate and based on particular needs. Theinformation being tracked, sent, received, or stored in communicationsystem 10 could be provided in any database, register, table, cache,queue, control list, or storage structure, based on particular needs andimplementations, all of which could be referenced in any suitabletimeframe. Any of the memory items discussed herein should be construedas being encompassed within the broad term ‘memory element.’ Similarly,any of the potential processing elements, modules, and machinesdescribed in this Specification should be construed as being encompassedwithin the broad term ‘processor.’

Note that with the numerous examples provided herein, interaction may bedescribed in terms of two, three, four, or more nodes. However, this hasbeen done for purposes of clarity and example only. It should beappreciated that the system can be consolidated in any suitable manner.Along similar design alternatives, any of the illustrated computers,modules, components, and elements of the FIGURES may be combined invarious possible configurations, all of which are clearly within thebroad scope of this Specification. In certain cases, it may be easier todescribe one or more of the functionalities of a given set of flows byonly referencing a limited number of nodes. It should be appreciatedthat communication system 10 of the FIGURES and its teachings arereadily scalable and can accommodate a large number of components, aswell as more complicated/sophisticated arrangements and configurations.Accordingly, the examples provided should not limit the scope or inhibitthe broad teachings of communication system 10 as potentially applied toa myriad of other architectures.

Note that in this Specification, references to various features (e.g.,elements, structures, modules, components, steps, operations,characteristics, etc.) included in “one embodiment”, “exampleembodiment”, “an embodiment”, “another embodiment”, “some embodiments”,“various embodiments”, “other embodiments”, “alternative embodiment”,and the like are intended to mean that any such features are included inone or more embodiments of the present disclosure, but may or may notnecessarily be combined in the same embodiments.

It is also important to note that the operations and steps describedwith reference to the preceding FIGURES illustrate only some of thepossible scenarios that may be executed by, or within, the system. Someof these operations may be deleted or removed where appropriate, orthese steps may be modified or changed considerably without departingfrom the scope of the discussed concepts. In addition, the timing ofthese operations may be altered considerably and still achieve theresults taught in this disclosure. The preceding operational flows havebeen offered for purposes of example and discussion. Substantialflexibility is provided by the system in that any suitable arrangements,chronologies, configurations, and timing mechanisms may be providedwithout departing from the teachings of the discussed concepts.

Although the present disclosure has been described in detail withreference to particular arrangements and configurations, these exampleconfigurations and arrangements may be changed significantly withoutdeparting from the scope of the present disclosure. For example,although the present disclosure has been described with reference toparticular communication exchanges involving certain network access andprotocols, communication system 10 may be applicable to other exchangesor routing protocols in which packets are exchanged in order to providemobility data, connectivity parameters, access management, etc.Moreover, although communication system 10 has been illustrated withreference to particular elements and operations that facilitate thecommunication process, these elements and operations may be replaced byany suitable architecture or process that achieves the intendedfunctionality of communication system 10.

Numerous other changes, substitutions, variations, alterations, andmodifications may be ascertained to one skilled in the art and it isintended that the present disclosure encompass all such changes,substitutions, variations, alterations, and modifications as fallingwithin the scope of the appended claims. In order to assist the UnitedStates Patent and Trademark Office (USPTO) and, additionally, anyreaders of any patent issued on this application in interpreting theclaims appended hereto, Applicant wishes to note that the Applicant: (a)does not intend any of the appended claims to invoke paragraph six (6)of 35 U.S.C. section 112 as it exists on the date of the filing hereofunless the words “means for” or “step for” are specifically used in theparticular claims; and (b) does not intend, by any statement in thespecification, to limit this disclosure in any way that is not otherwisereflected in the appended claims.

What is claimed is:
 1. A method, comprising: receiving a search querythat includes one or more attributes; evaluating a plurality of videofiles, wherein when a specific search attribute is recognized in aparticular video file, the particular video file may be divided into aplurality of video clips with at least one video clip having therecognized specific search attribute; identifying video clips within thevideo files that have one or more of the recognized specific searchattributes; and creating a video report comprising a contiguous sequenceof the identified video clips, wherein the video clips are stitchedtogether according to a stitch criterion, wherein each video clip in thevideo report comprises an embedded link, which can be selected to accessa corresponding video file that includes the particular video clip. 2.The method of claim 1, further comprising: providing a user interfaceconfigured for receiving feedback associated with the plurality of videofiles.
 3. The method of claim 1, further comprising: tagging the videofiles with tags corresponding to predefined attributes; and identifyingthe predefined attributes in response to the search query.
 4. The methodof claim 3, further comprising: matching the tags with the one or moresearch attributes, wherein at least one video clip in a particular oneof the video files has at least some of the one or more searchattributes.
 5. The method of claim 1, wherein the search query is anatural language query, or a customization form that includes predefinedattributes.
 6. The method of claim 5, wherein the predefined attributesare selected from a group of attributes, the group of attributesconsisting of: a) an author attribute reflective of authorship of aparticular video file; b) an identity attribute reflective of anidentity of a speaker in a video content of the particular video file;c) a video playing source attribute; d) a number of views attributeassociated with a number of times the particular video file has beenviewed; e) a text attribute associated with spoken words recorded in theparticular video file; f) a rating attribute associated with userratings of the particular video file; g) an upload time attributeassociated with when the particular video file was uploaded; h) acommentary attribute associated with comments in the particular videofile; i) a location attribute associated with a location for theparticular video file; j) an event attribute associated with an eventrecorded in the particular video file; and k) a scene change attributeassociated with differences between video frames.
 7. The method of claim1, wherein the stitch criterion is selected from a group of stitchcriteria, the group consisting of: a) an upload time attributeassociated with when a particular video file was uploaded; b) a videocreation time attribute associated with when the particular video filewas created; c) an event time attribute associated with a time of anevent recorded in the particular video file; d) a rating attributeassociated with user ratings of the particular video file; and e) anumber of views attribute associated with a number of times theparticular video file has been viewed.
 8. The method of claim 1, furthercomprising: providing the video report to a next destination, whereinthe providing includes a selected one of a group of operations, thegroup consisting of: a) sending the video report via electronic mail; b)publishing the video report; and c) uploading the video report to avideo sharing website.
 9. The method of claim 1, further comprising:providing a user interface configured for editing the video report. 10.The method of claim 1, further comprising: crowd-sourcing feedback toallow adding, modifying, and ranking content in the video report. 11.Logic encoded in non-transitory media that includes code for executionand when executed by a processor is operable to perform operations,comprising: receiving a search query that includes one or moreattributes; evaluating a plurality of video files, wherein when aspecific search attribute is recognized in a particular video file, theparticular video file may be divided into a plurality of video clipswith at least one video clip having the recognized specific searchattribute; identifying video clips within the video files that have oneor more of the recognized specific search attributes; and creating avideo report comprising a contiguous sequence of the identified videoclips, wherein the video clips are stitched together according to astitch criterion, wherein each video clip in the video report comprisesan embedded links, which can be selected to access a corresponding videofile that includes the particular video clip.
 12. The logic of claim 11,the operations further comprising: providing a user interface configuredfor receiving feedback associated with the plurality of video files. 13.The logic of claim 11, the operations further comprising: tagging thevideo files with tags corresponding to predefined attributes; andidentifying the predefined attributes in response to the search query.14. The logic of claim 13, the operations further comprising: matchingthe tags with the one or more search attributes, wherein at least onevideo clip in a particular one of the video files has at least some ofthe one or more search attributes.
 15. The logic of claim 11, whereinthe search query is a natural language query, or a customization formthat includes predefined attributes.
 16. The logic of claim 11, whereinthe operations further comprise: crowd-sourcing feedback to allowadding, modifying, and ranking content in the video report.
 17. Anapparatus, comprising: a memory element configured to storeinstructions; and a processor coupled to the memory element, wherein theapparatus is configured for: receiving a search query that includes oneor more attributes; evaluating a plurality of video files, wherein whena specific search attribute is recognized in a particular video file,the particular video file may be divided into a plurality of video clipswith at least one video clip having the recognized specific searchattribute; identifying video clips within the video files that have oneor more of the recognized specific search attributes; and creating avideo report comprising a contiguous sequence of the identified videoclips, wherein the video clips are stitched together according to astitch criterion, wherein each video clip in the video report comprisesan embedded links, which can be selected to access a corresponding videofile that includes the particular video clip.
 18. The apparatus of claim17, further comprising: a user interface configured for receivingfeedback associated with the plurality of video files.
 19. The apparatusof claim 17, further comprising: a tagging module configured for:tagging the video files with tags corresponding to predefinedattributes, wherein the predefined attributes can be identified inresponse to the search query.
 20. The apparatus of claim 17, furthercomprising: a crowd-sourcing feedback module to allow adding, modifying,and ranking content in the video report.